System and method for counting people flow
A statistical system and people flow technology, applied to neural learning methods, calculations, computer components, etc., can solve problems such as video recognition method failure, crowded carriages, and high overlap rate of human figures, so as to save resource expenses, reduce difficulty, and improve The effect of precision and recall
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Embodiment 1
[0039] Such as figure 1 As shown, a people flow counting system includes:
[0040] Image collection module 1, described image collection module 1 is used for collecting the video data of flow of people in the enclosed area by fisheye camera, described video data is carried out frame extraction, obtains image set;
[0041] Model training module 2, described model training module 2 is used for importing image set, divides the image in image set into outer circle area and inner circle area; In the outer circle area of image, mark out the facial features and the head of human body, obtain the first Human body marking data; using the first human body marking data to train the first human head detection model to obtain the first target detection model; marking the head of the human body in the inner circle area of the image to obtain the second human body marking data; using the first human body marking data The second human head detection model is trained on the two human body...
Embodiment 2
[0054] Such as figure 2 Shown, a kind of people flow counting method comprises the following steps:
[0055] Collect the video data of the flow of people in the enclosed area through the fisheye camera, and frame the video data to obtain the image set;
[0056] Divide the images in the image set into the outer circle area and the inner circle area; mark the facial features and head of the human body in the outer circle area of the image to obtain the first human body marking data; use the first human body marking data to detect the first head detection model Perform training to obtain the first target detection model; mark the head of the human body in the inner circle area of the image to obtain the second human body marking data; use the second human body marking data to train the second human head detection model to obtain the second target detection model;
[0057] Divide the images in the image set to be recognized into the outer circle area and the inner circle ar...
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